Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury DOI Creative Commons

Gaoyi Wu,

Xianfei Zhong,

Jing Chen

et al.

Infection and Drug Resistance, Journal Year: 2025, Volume and Issue: Volume 18, P. 745 - 755

Published: Feb. 1, 2025

Objective: To analyze the influencing factors of postoperative pulmonary infection in patients with severe traumatic brain injury, and establish validate a column chart prediction model. Methods: A retrospective study was conducted on 314 injury our hospital from January 2022 to March 2024. They were separated into an internal validation group 235 cases external 79 randomly. The grouped 73 non-infection 162 cases. All underwent pathogen detection identification. Results: total 96 strains pathogens isolated concurrent infections. Independent risk for TBI included age ≥ 60 years, diabetes, tracheotomy, operation time 4 hours, sputum excretion supine position, mechanical ventilation duration 7 days, GCS score < 8 points (P< 0.05). constructed model had high discrimination, calibration, clinical practical value. Conclusion: model, incorporating age, time, score, can effectively predict infections patients. Keywords: infection, factors,

Language: Английский

Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury DOI Creative Commons

Gaoyi Wu,

Xianfei Zhong,

Jing Chen

et al.

Infection and Drug Resistance, Journal Year: 2025, Volume and Issue: Volume 18, P. 745 - 755

Published: Feb. 1, 2025

Objective: To analyze the influencing factors of postoperative pulmonary infection in patients with severe traumatic brain injury, and establish validate a column chart prediction model. Methods: A retrospective study was conducted on 314 injury our hospital from January 2022 to March 2024. They were separated into an internal validation group 235 cases external 79 randomly. The grouped 73 non-infection 162 cases. All underwent pathogen detection identification. Results: total 96 strains pathogens isolated concurrent infections. Independent risk for TBI included age ≥ 60 years, diabetes, tracheotomy, operation time 4 hours, sputum excretion supine position, mechanical ventilation duration 7 days, GCS score < 8 points (P< 0.05). constructed model had high discrimination, calibration, clinical practical value. Conclusion: model, incorporating age, time, score, can effectively predict infections patients. Keywords: infection, factors,

Language: Английский

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